Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Dean Wampler

Dean Wampler
VP, Fast Data Engineering, Lightbend

Website | @deanwampler

Dean Wampler, Ph.D., is the VP of Fast Data Engineering at Lightbend. He leads the development of Lightbend Fast Data Platform, a distribution of scalable, distributed stream processing tools including Spark, Flink, Kafka, and Akka, with machine learning and management tools. Dean is the author of Programming Scala and Functional Programming for Java Developers and the coauthor of Programming Hive, all from O’Reilly Media. He is a contributor to several open source projects, a frequent Strata speaker, and the co-organizer of several conferences around the world and several user groups in Chicago. Dean lurks on Twitter as @deanwampler.


13:3017:00 Tuesday, 22 May 2018
Streaming systems and real-time applications
Location: Capital Suite 15 Level: Intermediate
Dean Wampler (Lightbend), Boris Lublinsky (Lightbend)
This hands-on tutorial builds streaming apps as _microservices_ using Kafka with Akka Streams and Kafka Streams. We'll assess the strengths and weaknesses of each tool for particular needs, so you'll be better informed when choosing tools for your needs. We'll contrast them with Spark Streaming and Flink, including when to chose them instead. Read more.
14:5515:35 Wednesday, 23 May 2018
Dean Wampler (Lightbend)
Streaming data systems, so called "Fast Data", promise accelerated access to information, leading to new innovations and competitive advantages. But they aren't just "faster" versions of Big Data. They force architecture changes to meet new demands for reliability and dynamic scalability, more like microservices. This talk tells you what you need to know to exploit Fast Data successfully. Read more.